Aggregation

C1 16+
  • Frequency of Use
    20 %
  • Retention Rate
    50 %
  • Complexity
    70 %
  • Aggregation Meanings

    noun the formation of a number of things into a cluster

    Fields related to aggregation

    Economics

    Aggregation refers to the combining of individual economic variables into a broader measure, such as GDP.

    Computer Science

    Aggregation is a concept in object-oriented programming where a class can contain references to other classes as part of its state.

    Business Management

    Aggregation involves combining different elements or units into a larger whole, often used in financial reporting or market analysis.

    Data Science

    Aggregation is a process in which data is collected and summarized into a single value, often used in statistical analysis.

    Occupation Usage of aggregation

    Writer

    In the field of journalism, writers often use aggregation to gather information from multiple sources and compile it into a single article or report. This can help provide a comprehensive overview of a topic or event.

    Psychologist

    Psychologists may use aggregation as a data analysis technique to combine and summarize data from multiple studies or sources. This can help identify patterns or trends that may not be apparent in individual studies.

    Market Researcher

    Market researchers often use aggregation to analyze data from various sources such as surveys, focus groups, and sales reports. By aggregating this data, researchers can gain a better understanding of consumer behavior and market trends.

    Financial Analyst

    Financial analysts use aggregation to consolidate financial data from different sources such as balance sheets, income statements, and cash flow statements. This helps them assess the overall financial health of a company and make informed investment decisions.

    Data Scientist

    Data scientists use aggregation to combine and analyze large datasets from multiple sources. By aggregating this data, they can extract valuable insights and patterns that can be used to make data-driven decisions.

    Consolidated Statistics about aggregation

    Region Popularity

    Gender Usage

    By Literature Genre

    By Media

    Age Distribution